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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 11, issue 7
Atmos. Meas. Tech., 11, 4239–4260, 2018
https://doi.org/10.5194/amt-11-4239-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 4239–4260, 2018
https://doi.org/10.5194/amt-11-4239-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Jul 2018

Research article | 19 Jul 2018

Estimating observation and model error variances using multiple data sets

Richard Anthes and Therese Rieckh
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Therese Rieckh on behalf of the Authors (10 May 2018)  Author's response    Manuscript
ED: Reconsider after major revisions (23 May 2018) by Ad Stoffelen
AR by Therese Rieckh on behalf of the Authors (21 Jun 2018)  Author's response    Manuscript
ED: Publish as is (22 Jun 2018) by Ad Stoffelen
AR by Therese Rieckh on behalf of the Authors (25 Jun 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
We show how multiple data sets, including observations and models, can be combined using the "N-cornered hat method" to estimate vertical profiles of the errors of each system. Using data from 2007, we estimate the error variances of radio occultation, radiosondes, ERA-Interim, and GFS model data sets at four radiosonde locations in the tropics and subtropics. A key assumption is the neglect of error correlations among the different data sets, and we examine the consequences of this assumption.
We show how multiple data sets, including observations and models, can be combined using the...
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